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TimeBERT: Enhancing Pre-Trained Language Representations with Temporal Information



Jiexin Wang , Adam Jatowt , Masatoshi Yoshikawa


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Network Shuffling: Privacy Amplification via Random Walks



Seng Pei Liew , Tsubasa Takahashi , Shun Takagi , Fumiyuki Kato , Yang Cao , Masatoshi Yoshikawa

* 15 pages, 9 figures; SIGMOD 2022 version 

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OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment



Fumiyuki Kato , Yang Cao , Masatoshi Yoshikawa


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ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections



Jiexin Wang , Adam Jatowt , Masatoshi Yoshikawa


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Understanding the Interplay between Privacy and Robustness in Federated Learning



Yaowei Han , Yang Cao , Masatoshi Yoshikawa


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Incentive Mechanism for Privacy-Preserving Federated Learning



Shuyuan Zheng , Yang Cao , Masatoshi Yoshikawa


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FLAME: Differentially Private Federated Learning in the Shuffle Model



Ruixuan Liu , Yang Cao , Hong Chen , Ruoyang Guo , Masatoshi Yoshikawa

* 8 pages 

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P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model



Shun Takagi , Tsubasa Takahashi , Yang Cao , Masatoshi Yoshikawa

* 12 pages 

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FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection



Ruixuan Liu , Yang Cao , Masatoshi Yoshikawa , Hong Chen

* 18 pages, to be published in DASFAA 2020 

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Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training



Bei Liu , Jianlong Fu , Makoto P. Kato , Masatoshi Yoshikawa


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